{"id":"W4252690012","doi":"10.1002/div.6475","title":"Sherwin‐Williams Co.","year":2007,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Original equipment manufacturer; Business; Automotive industry; China; Engineering; Commerce; Geography; Archaeology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000582092,0.0002286999,0.0001972583,0.0001498461,0.0002179749,0.0001597521,0.0003474166,0.00007454301,0.002340863],"category_scores_gemma":[0.00005130237,0.0002118662,0.0001524428,0.000482663,0.00006350576,0.001127465,0.0001358609,0.0001602022,0.002870697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005136334,"about_ca_system_score_gemma":0.0000142211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007194812,"about_ca_topic_score_gemma":0.0004290117,"domain_scores_codex":[0.9983467,0.00000481148,0.0003213326,0.0003373477,0.0004735139,0.0005162383],"domain_scores_gemma":[0.9993334,0.00002658873,0.0002352465,0.0003066866,0.00006513956,0.00003293591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001993849,0.0002801699,0.5447602,0.0001542591,0.0001341888,0.0001834013,0.00009099834,0.0001091425,0.005838607,0.04830715,0.3659877,0.03395471],"study_design_scores_gemma":[0.0004222917,0.000008353595,0.1179491,0.00002552842,0.00004165186,0.000001186231,0.0001542931,0.00006169669,0.0006523845,0.0006932626,0.8796715,0.0003188026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757131,0.000199384,0.0009683721,0.001080538,0.001790304,0.0002241575,0.000004944741,0.0002307706,0.1197884],"genre_scores_gemma":[0.9889507,0.00003739442,0.00007223055,0.004032335,0.001685975,0.00000590098,0.00004800328,0.00003855533,0.005128963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5136837,"threshold_uncertainty_score":0.9985712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02067529299821198,"score_gpt":0.2396936752775583,"score_spread":0.2190183822793463,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}